code: def model_fn(model_dir):
      model_file = model_dir + "/model.bin"
      model = pkl.load(open(model_file, "rb"))
      return model
  
file_path: sagemaker-python-sdk/tests/data/sip/xgboost_source_dir/inference.py
imports: import os
  import pickle
  import json
  import numpy
  import xgboost
  from sagemaker_containers.beta.framework import content_types, encoders, env, modules, transformer, worker
  from sagemaker_xgboost_container import encoder
label_desc: Use image node_id 2 for calling a global function with example usage: model_fn(model_dir) and returns: model